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What Is a Web Service A Web service is one of the richest external data sources to which InfoPath can connect If you have little experience with Web services, the next few sections should be a quick review Otherwise, you can skip reading until after we create a simple Web service in Visual Studio 2005 When we talk about a Web service, we are speci cally referring to a software component that runs on a Web server The component is de ned by the Web Service De nition Language (WSDL), which is a W3C published protocol (Details on the protocol are beyond the scope of this book MSDN is recommended as an in-depth reference on Web services speci cations; see the reference listed in the Appendix) To use a Web service data connection in InfoPath, the form uses the URL of the Web service in which you want to connect For example, Microsoft TerraServer has a Web service at http://terraservermicrosoft com/TerraService2 asmx As you can see, the URL of the Web service endpoint appears somewhat similar to other Web pages you may visit in a Web browser The distinguishing factor in the URL for this Web service is the asmx le extension The ASMX le is the actual Web service endpoint This is the URL InfoPath uses for query and submit operations against the endpoint To create a Web service data connection while designing a form, InfoPath requires the WSDL URL This is because a WSDL exposes the underlying Web service s public interfaces, including methods, input parameters, and output types Typically you can simply append wsdl to the endpoint URL to get the WSDL For the TerraServer Web service, visiting http:// terraservermicrosoftcom/TerraService2asmx wsdl yields its WSDL A WSDL, despite being XML, is really not meant for human consumption unless you are familiar with its intricacies Due to its complexity, there are tools available on the Web to help you easily decipher WSDL content As you will see in our upcoming example, InfoPath helps you to easily understand what methods (and even each of their parameters, if any) are available from a given Web service WSDL However, InfoPath is not very good at revealing the output types until you nish creating the data connection.



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A problem that can be mathematically expressed recursively can also be expressed as a recursive algorithm In many cases, doing so yields a significant performance improvement over a more naive exhaustive search Any recursive mathematical formula could be directly translated to a recursive algorithm, but often the compiler may not do justice to the recursive algorithm and an inefficient program results That is the case for the recursive computation of the Fibonacci numbers described in Section 834 To avoid this recursive explosion, we can use dynamic programming to rewrite the recursive algorithm as a nonrecursive algorithm that systematically records the answers to the subproblems in a table We illustrate this technique with the following problem

Another common expression within a data-binding expression in ASPNET is to reference the container's data item: <%# ContainerDataItem["CustomerID"] %>





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Creating a Simple Web Service Using Visual Studio 2005 To follow along with the text and create a Web service in Visual Studio 2005, your computer must meet the following prerequisites:

Greedy algorithms make locally optimal decisions at each stepThis is the simple, but not always the correct, thing to do

Visual C# 2005 Visual Web Developer 2005 Internet Information Services (IIS) 60 or later with ASPNET enabled (that comes with NET Framework 20) FrontPage 2002 Server Extensions (installable through the Add/Remove Windows Components button) We ll start with creating a new Web site in the Visual Studio Start page This is the default page that appears when Visual Studio 2005 is opened (Note that this is con gurable, so your results may vary) Click on the Web site link adjacent to the Create label, which is located in the Recent Projects (upper-left) region The New Web Site dialog appears with a list of templates (Figure 623) We want to choose the ASPNET Web Service template For this example,

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US currency has coins in 1-, 5-, lo-, and 25-cent denominations (ignore the less-frequently occurring 50-cent piece) We can make 63 cents by using two 25-cent pieces, one 10-cent piece, and three I-cent pieces, for a total of six coins Change-making in this currency is relatively simple: We repeatedly use the largest coin available to us We can show that for US currency this approach always minimizes the total number of coins used, which is an example of so-called greedy algorithms In a greedy algorithm, during each phase, a decision is made that appears to be optimal, without regard for future consequences This "take what you can get now" strategy is the source of the name for this class of algorithms When a problem can be solved with a greedy algorithm, we are usually quite happy: Greedy algorithms often match our intuition and make for relatively painless coding Unfortunately, greedy algorithms do not always work If the US currency included a 21-cent piece, the greedy algorithm would still give a solution that uses six coins, but the optimal solution uses three coins (all 2 I -cent pieces) The question then becomes one of how to solve the problem for an arbitrary coin set We assume that there is always a 1-cent coin so that the solution always exists A simple strategy to make K cents in change uses recursion as follows I If we can make change using exactly one coin, that is the minimum 2 Otherwise, for each possible value i we can compute the minimum number of coins needed to make i cents in change and K - i cents in change independently We then choose the i that minimizes this sum

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